Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 2 | JANIACZYK Błażej | 68 |
| 4 | TAMOURIDIS Ioannis | 70 |
| 5 | ACKERMANN Pascal | 78 |
| 6 | GAVAZZI Mattia | 70 |
| 7 | VERSCHOOR Martijn | 74.5 |
| 9 | STASH Mamyr | 77 |
| 13 | BALYKIN Ivan | 68 |
| 16 | LUNARDON Paolo | 77 |
| 17 | AVERIN Maksym | 74 |
| 18 | KUSTADINCHEV Roman | 66 |
| 19 | RÄIM Mihkel | 69 |
| 20 | WILLIAMS Christopher | 75 |
| 21 | HENTTALA Joonas | 73 |